{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Radiation Pressure simulation with \n",
    "SI units,\n",
    "1 Sun-like star,\n",
    "belts belts of debris\n",
    "Ncolpbelt number of collisions per belt\n",
    "Ncol collisions total, \n",
    "Ndust massless particles per collision and \n",
    "Npl planets\n",
    "\n",
    "This copy has better indexing than the first\n",
    "\n",
    "no p-r drag\n",
    "Noutput outputs from sim,\n",
    "randomized or linearly distributed orbital elements per particle,\n",
    "grain size linearly or randomly distributed from 1-10 microns,\n",
    "xyz positions of each particle stored in xyz array,\n",
    "\n",
    "plotted in 9 time steps from above and 2 time steps edge-on,\n",
    "colourmap maps size of grain (not sure how it's associated though),\n",
    "\n",
    "particles with e>0.9 (unbound or very long period orbit) are removed from sim,\n",
    "\n",
    "semi-major axis and beta plotted against grain size,\n",
    "\n",
    "May 16th: first thing to do tomorrow is figure out how to evenly space the collisions around the orbit\n",
    "\n",
    "May 17th: add variable for rows and cols\n",
    "\n",
    "MAy 18th: Copy2: going to make an addcol() function that will take in which belt the new collision happens in, randomizes the orbital elements a bit, and produces a new set of dust particles, added on to the ps array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import rebound\n",
    "import reboundx\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "#from mpl_toolkits.mplot3d import Axes3D\n",
    "import random as rand\n",
    "import math\n",
    "import matplotlib.cm as cm\n",
    "import seaborn as sns\n",
    "from matplotlib.colors import ListedColormap\n",
    "np.random.seed(sum(map(ord, \"aesthetics\")))\n",
    "np.random.seed(sum(map(ord, \"palettes\")))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#set up sim, put units in SI, \n",
    "#set number of gravitationally interactive bodies\n",
    "#add sun, pointer array to particles\n",
    "sim = rebound.Simulation()\n",
    "sim.G = 6.674e-11 # SI\n",
    "sim.dt = 1e5 #seconds, 1/20th of a year\n",
    "sim.N_active = 1 \n",
    "sim.add(m=1.99e30, hash=\"Sun\") #mass in kg\n",
    "ps = sim.particles\n",
    "\n",
    "#set up radiation force\n",
    "rebx = reboundx.Extras(sim)\n",
    "rf = rebx.add(\"radiation_forces\") #extra force added\n",
    "rf.params[\"c\"] = 3.e8 #speed of light in m\n",
    "\n",
    "### initialize random seed, planets, collisions massless particles\n",
    "### each collision gets same number of particles\n",
    "### linear distribution of grain sizes for each collision\n",
    "### lists of orbital elements for different collision locations\n",
    "\n",
    "seed = 3\n",
    "rand.seed(seed)\n",
    "AU = 1.5e11 # in m\n",
    "\n",
    "#add the random particles\n",
    "belts = 1\n",
    "Ncolpbelt = 10 #number of collisions per belt\n",
    "Ncol = Ncolpbelt*belts\n",
    "totaldust = 100\n",
    "Ndust = int(totaldust/Ncol) #number of grains per collision\n",
    "\n",
    "def beltradius(belt):\n",
    "    a = AU*(belt+1)\n",
    "    return a;\n",
    "\n",
    "def addcol(belt):\n",
    "    #for distributing grain size and calculating beta\n",
    "    grain_rad_min = 1.e-6\n",
    "    grain_rad_width = 1.e-5\n",
    "    scale = np.linspace(0,0.99,Ndust) #linearly scaled grain size\n",
    "    density = 1000. #kg/m^3 = 1g/cc\n",
    "    Q_pr = 1.\n",
    "    luminosity = 3.85e26 #Watts\n",
    "    \n",
    "    #randomize orbital element values and betas for each particle\n",
    "    a = beltradius(belt)\n",
    "    awidth = 0.1*AU*rand.random()\n",
    "    e=np.random.triangular(0,0.01,0.2)\n",
    "    incmax = np.arcsin(0.01*belt)\n",
    "    inc = incmax*rand.random()\n",
    "    Omega = 2*np.pi*rand.random()\n",
    "    pomega = 2*np.pi*rand.random()\n",
    "    f = 2*np.pi*rand.random()\n",
    "    for i in range(0,Ndust): \n",
    "        grain_radius = grain_rad_min + grain_rad_width*scale[i] ##TODO the grain radius and grainsize are defined differently and that cant be good\n",
    "        sim.add(a=a+awidth, e=e, inc=inc, Omega=Omega, pomega=pomega, f=f, hash=i+sim.N+1)\n",
    "        ps[-1].params[\"grainsize\"] = np.random.triangular(1.e-6, 1.1e-6, 1.e-5)\n",
    "        ps[-1].params[\"beta\"] = rebx.rad_calc_beta(sim.G, rf.params[\"c\"], \\\n",
    "                        ps[0].m, luminosity, grain_radius, density, Q_pr)\n",
    "\n",
    "#add all the initial collisions\n",
    "for j in range(belts):\n",
    "    for i in range(Ncolpbelt):\n",
    "        addcol(j+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#integrate over sim, recording particle and planet locations\n",
    "year = 365*24*3600 # seconds\n",
    "Noutput = 500\n",
    "numyears = 100\n",
    "times = np.linspace(0, numyears*year, Noutput)\n",
    "xyz = np.zeros((Noutput, belts, Ncolpbelt, Ndust, 3))\n",
    "for i, time in enumerate(times):\n",
    "    sim.integrate(time)\n",
    "    for j in range(belts):\n",
    "        for k in range(Ncolpbelt):\n",
    "            #Ncolpbelt = Ncolpbelt+1\n",
    "            \n",
    "            for l, p in enumerate(ps[Ndust*(k+j*Ncolpbelt)+1:Ndust*(k+1+j*Ncolpbelt)+1]):\n",
    "                xyz[i][j][k][l] = [p.x/AU, p.y/AU, p.z/AU]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f630c125eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set()\n",
    "sns.set_style(\"white\")\n",
    "\n",
    "nplot = 9\n",
    "row = int(math.ceil(nplot/3)+2)\n",
    "col = 3\n",
    "res = 1\n",
    "size = res*1\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(col*5*res,row*5*res))\n",
    "lim = 1.5*beltradius(belts)/AU #in AU\n",
    "alpha = 0.3\n",
    "\n",
    "#create colourmap array\n",
    "start = np.arange(0,3,3/belts)\n",
    "helmap = [sns.cubehelix_palette(8, start=start[i], rot=0.35, light=0.95, dark=0.5, hue=1,\\\n",
    "                                gamma=2, as_cmap=True, reverse=True) for i in range(belts)]\n",
    "#, c=c, cmap=helmap[int(i/Ncolpbelt)],linewidth=size,alpha=alpha\n",
    "#size=[]\n",
    "#for i in range(1,Ndust):\n",
    "#    size.append((ps[i].params[\"grainsize\"])*1e6*res) #scaled point sizes\n",
    "### , c=c, cmap=cmap[17+i], alpha=alpha   ###\n",
    "c = np.arange(Ndust)\n",
    "\n",
    "def plot_face(t, xyz, lim=lim):\n",
    "    ax.set_xlabel(\"AU\")\n",
    "    ax.set_ylabel(\"AU\")\n",
    "    ax.set_xlim([-lim,lim])\n",
    "    ax.set_ylim([-lim,lim])\n",
    "    for h in range(belts):\n",
    "        cmap = sns.cubehelix_palette(8, start=start[h], rot=0.35, light=0.95, dark=0.5, hue=1,\\\n",
    "                                gamma=2, as_cmap=True, reverse=True)\n",
    "        for i in range(Ncolpbelt):\n",
    "            ax.scatter(xyz[t,h,i,:,0],xyz[t,h,i,:,1], marker=\".\", \\\n",
    "                       c=c, cmap=cmap,linewidth=size,alpha=alpha);\n",
    "\n",
    "def plot_edge(t, xyz, lim=lim):\n",
    "    ax.set_xlabel(\"AU\")\n",
    "    ax.set_ylabel(\"AU\")\n",
    "    ax.set_xlim([-lim,lim])\n",
    "    ax.set_ylim([-lim/50,lim/50])\n",
    "    for h in range(belts):\n",
    "        cmap = sns.cubehelix_palette(8, start=start[h], rot=0.6, light=0.95, dark=0.5, hue=1,\\\n",
    "                                gamma=2, as_cmap=True, reverse=True)\n",
    "        for i in range(Ncolpbelt):\n",
    "            ax.scatter(xyz[t,h,i,:,0],xyz[t,h,i,:,2], marker=\".\", \\\n",
    "                       c=c, cmap=cmap,linewidth=size,alpha=alpha);\n",
    "\n",
    "for i in range(1,1+nplot):\n",
    "    ax = plt.subplot(row, col, i)\n",
    "    plot_face(int(Noutput**(i*0.11*9/nplot)), xyz)\n",
    "#for i in range(1,2):\n",
    "    \n",
    "\n",
    "ax = plt.subplot(row, 1, row-1)\n",
    "plot_edge(int(Noutput**(4*0.11)), xyz)\n",
    "ax = plt.subplot(row, 1, row)\n",
    "plot_edge(int(Noutput**(9*0.11)), xyz)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(1,Ndust+1)\n",
    "xx,yy=[ps[i].x for i in range(Ndust)],[ps[i].y for i in range(Ndust)]\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "plt.hist2d(xx,yy, bins=(100,100),cmin=1, cmap=\"magma_r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig=plt.figure(figsize=(5,5))\n",
    "x=np.linspace(-5,5,100)\n",
    "y=np.linspace(-5,5,100)\n",
    "X,Y = np.meshgrid(x,y)\n",
    "h = plt.hist2d(xx,yy, bins=(100,100))\n",
    "print(h[0])\n",
    "plt.contourf(X,Y, h[0], linewidths=10, cmap=\"magma_r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3222287243158.291\n",
      "Number of particles before cut = 100\n",
      "Number of particles after cut = 85\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "max_a = (((year*numyears)**2)*sim.G*ps[0].m/(4*(np.pi**2)))**(1/3)\n",
    "\n",
    "print(max_a)\n",
    "\n",
    "print(\"Number of particles before cut = {0}\".format(sim.N-1))\n",
    "for i in reversed(range(1,Ndust*Ncol+1)):\n",
    "    if ps[i].e > 0.5:\n",
    "        sim.remove(i)\n",
    "print(\"Number of particles after cut = {0}\".format(sim.N-1))\n",
    "\n",
    "#print(\"Number of particles before add = {0}\".format(sim.N-1))\n",
    "#addcol(1)\n",
    "#print(\"Number of particles after add = {0}\".format(sim.N-1))\n",
    "\n",
    "#Ndust=int((sim.N-1)/Ncol)\n",
    "\n",
    "#fig1 = rebound.OrbitPlot(sim, trails=True, unitlabel=\"[AU]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'xx' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-19-1d1036129916>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmeshgrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mh\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist2d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0myy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mh\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontourf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mY\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidths\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"magma_r\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'xx' is not defined"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f630c757e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f630cb20dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d = 1  # reduction factor for looking at interesting area of plot\n",
    "cc = np.arange(0,Ndust)\n",
    "\n",
    "aaxis=np.zeros((Ncol, Ndust)) \n",
    "ee=np.zeros((Ncol, Ndust))\n",
    "beta=np.zeros((Ncol, Ndust))\n",
    "size=np.zeros((Ncol, Ndust))\n",
    "\n",
    "for j in range(Ncol):\n",
    "    \n",
    "    for i in range(0, Ndust):\n",
    "        k = Ndust*j+i+1\n",
    "        aaxis[j][i] = ps[k].a/AU\n",
    "        ee[j][i] = ps[k].e\n",
    "        beta[j][i] = ps[k].params[\"beta\"]\n",
    "        size[j][i] = ps[k].params[\"grainsize\"]*1e6\n",
    "\n",
    "fig2 = plt.figure(figsize=(10,5))\n",
    "\n",
    "ax1 = plt.subplot(211)\n",
    "ax1.set_ylabel('Semi-Major Axis')\n",
    "plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "ax2 = plt.subplot(212, sharex=ax1)\n",
    "ax2.set_xlabel('Grain Size [10$^-$$^6m$]')\n",
    "ax2.set_ylabel('e')\n",
    "for i in range(Ncol):\n",
    "    ax1.scatter(size[i], aaxis[i], c=cc, cmap=helmap[int(i/Ncolpbelt)])\n",
    "    ax2.scatter(size[i], ee[i], c=cc, cmap=helmap[int(i/Ncolpbelt)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
